Gemini 3.1 Pro vs Gemini 3 Pro
Compare pricing, context windows, and strengths for Gemini 3.1 Pro by Google and Gemini 3 Pro by Google - and see how to put either to work in Appaca.
Gemini 3.1 Pro
Google's most advanced reasoning Gemini model, built for complex multimodal problem-solving, software engineering, and long-horizon agentic workflows.
View Gemini 3.1 ProGemini 3 Pro
Google's most intelligent multimodal model designed for advanced reasoning, coding, and agentic tasks.
View Gemini 3 ProGemini 3.1 Pro vs Gemini 3 Pro at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Gemini 3.1 Pro | Gemini 3 Pro |
|---|---|---|
| Provider | ||
| Model type | Text | Text |
| Context window | 1.05M tokens | 1M tokens |
| Input price | $4 / 1M tokens | $4 / 1M tokens |
| Output price | $18 / 1M tokens | $18 / 1M tokens |
| Status | Current | Superseded by Gemini 3.1 Pro |
How Gemini 3.1 Pro and Gemini 3 Pro differ
What the numbers mean in practice when choosing between Gemini 3.1 Pro and Gemini 3 Pro.
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Both models cost the same on input: $4 per million tokens.
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Context windows are close: Gemini 3.1 Pro handles 1.05M tokens and Gemini 3 Pro handles 1M tokens.
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Gemini 3 Pro has been superseded by Gemini 3.1 Pro - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Gemini 3.1 Pro
1. Google's most advanced reasoning Gemini model
- Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
- Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.
2. Large multimodal context with substantial output room
- Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
- Allows up to 65,536 output tokens for longer answers, plans, and code generations.
3. More efficient thinking with expanded controls
- Improves token efficiency and reasoning performance across use cases.
- Adds the
MEDIUMthinking_leveloption to better balance cost, speed, and quality.
4. Strong support for production agents
- Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
- Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.
Gemini 3 Pro
1. State-of-the-art reasoning
- Top performance across academic reasoning, scientific knowledge, math, and complex problem-solving.
- Excels at long-horizon, multi-step workflows and deep logical interpretation.
2. World-leading multimodal capabilities
- Natively understands text, images, videos, audio, and code.
- Ranked highest on benchmarks like MMMU-Pro, Video-MMMU, ScreenSpot-Pro.
3. Exceptional coding + agentic workflows
- Strong in competitive coding and real-world agentic tasks (SWE-Bench Verified, Terminal-Bench, LiveCodeBench).
- Improved tool calling, planning, and execution for autonomous or semi-autonomous agents.
4. Powerful for long-context tasks
- Effective at 128K-1M context windows with high retrieval accuracy.
- Ideal for document-heavy workflows, research, analysis, multi-file coding, and multi-document reasoning.
5. Strong information synthesis and interpretation
- Outperforms peers in chart reasoning, OCR, structured extraction, and screen understanding.
- Excellent at combining multimodal inputs into coherent, concise answers.
6. High reliability for enterprise tasks
- Benchmarks show superior factuality, grounding, and parametric knowledge.
- Strong multilingual accuracy and global commonsense performance.
7. Optimized for production agents
- Designed for complex multi-step planning, simultaneous task execution, and improved consistency.
- Works across coding, research, creative workflows, UI generation, and data-heavy applications.
Use Gemini 3.1 Pro or Gemini 3 Pro - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Gemini 3.1 Pro or Gemini 3 Pro - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Gemini 3.1 Pro or Gemini 3 Pro. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Gemini 3.1 Pro, test the same tool on Gemini 3 Pro, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Gemini 3.1 Pro or Gemini 3 Pro - connected to the tools you already use.
Related comparisons
See how Gemini 3.1 Pro and Gemini 3 Pro stack up against other models in the directory.
FAQs
They cost the same overall: both charge $4 per million input tokens and $18 per million output tokens.
Gemini 3.1 Pro has the larger context window at 1.05M tokens, compared to 1M tokens for Gemini 3 Pro. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Gemini 3.1 Pro, test the same tool on Gemini 3 Pro, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Gemini 3.1 Pro, Gemini 3 Pro, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Gemini 3.1 Pro or Gemini 3 Pro
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.